Researchers at Dana-Farber have put together a data atlas that includes a range of genomic, transcriptomic, epigenetic, and clinical data from patients and healthy donors to try to understand familial WM.

In certain families, almost everyone develops Waldenström’s macroglobulinemia, a blood cancer, but no one has found a biological explanation for the increased risk.

The team is using machine learning to generate hypotheses in the hopes that they can develop better diagnostics and individualized therapies for the disease.

For more information, please click the link below:

https://blog.dana-farber.org/insight/2023/03/dana-farber-researchers-use-machine-learning-to-understand-rare-familial-blood-cancer/